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A Spatial Analysis Approach for the Definition of Metropolitan Regions—The Case of Portugal

Author

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  • Rui António Rodrigues Ramos

    (Department of Civil Engineering, School of Engineering, University of Minho, Campus Gualtar, Braga 4710-057, Portugal)

  • Antônio Nélson Rodrigues da Silva

    (Department of Transportation, São Carlos School of Engineering, University of São Paulo, 400 Avenida Trabalhador São-Carlense, São Carlos 13566-590, Brazil)

Abstract

The objective of this paper is to present a combined, two-step spatial analysis approach for the definition of metropolitan regions. The proposed approach, which constitutes an option to avoid the endless confrontations that may be derived from the essentially subjective political criteria, explores two branches of spatial analysis: spatial statistics and spatial modelling. Spatial statistics tools are used to identify the characteristics of local association and are combined with a neural network in order to build prediction models. The analyses conducted with exploratory spatial data analysis tools and census data give a clear indication of clusters of zones with similar characteristics, which can be seen as uniform regions. Spatial models can then be used to foresee the global behaviour of regions in terms of growth, albeit the basis of local (and historical) relationships among zones. The proposed approach is tested in a case study carried out in Portugal, where this is a timely issue.

Suggested Citation

  • Rui António Rodrigues Ramos & Antônio Nélson Rodrigues da Silva, 2007. "A Spatial Analysis Approach for the Definition of Metropolitan Regions—The Case of Portugal," Environment and Planning B, , vol. 34(1), pages 171-185, February.
    • Handle: RePEc:sae:envirb:v:34:y:2007:i:1:p:171-185
    DOI: 10.1068/b31117
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    References listed on IDEAS

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    1. Rui António Ramos & Antônio Nélson Silva & Vasco Miranda, 2004. "A comparison of two methods for the definition of Regional Metropolitan Areas through an application in the North of Portugal," ERSA conference papers ersa04p488, European Regional Science Association.
    2. Luc Anselin & Shuming Bao, 1997. "Exploratory Spatial Data Analysis Linking SpaceStat and ArcView," Advances in Spatial Science, in: Manfred M. Fischer & Arthur Getis (ed.), Recent Developments in Spatial Analysis, chapter 3, pages 35-59, Springer.
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